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CQFD - 2018
Overall Objectives
Application Domains
New Software and Platforms
Bilateral Contracts and Grants with Industry
Bibliography
Overall Objectives
Application Domains
New Software and Platforms
Bilateral Contracts and Grants with Industry
Bibliography


Section: New Results

Investigation of asymmetry in E. coli growth rate

The data we analyze derives from the observation of numerous cells of the bacterium Escherichia coli (E. coli) growing and dividing. Single cells grow and divide to give birth to two daughter cells, that in turn grow and divide. Thus, a colony of cells from a single ancestor is structured as a binary genealogical tree. At each node the measured data is the growth rate of the bacterium. In this paper, we study two different data sets. One set corresponds to small complete trees, whereas the other one corresponds to long specific sub-trees. Our aim is to compare both sets. This paper is accessible to post graduate students and readers with advanced knowledge in statistics.

Authors: Bernard Delyon, Benoîte De Saporta (Inria CQFD), Nathalie Krell, Lydia Robert.